Triple

T17121757
Position Surface form Disambiguated ID Type / Status
Subject Sycamore Partners E415483 entity
Predicate foundedBy P104 FINISHED
Object Stefan Kaluzny
Stefan Kaluzny is an American private equity investor best known as the co-founder and managing partner of the retail-focused firm Sycamore Partners.
E1274514 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Stefan Kaluzny | Statement: [Sycamore Partners, foundedBy, Stefan Kaluzny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stefan Kaluzny
Context triple: [Sycamore Partners, foundedBy, Stefan Kaluzny]
  • A. Stefan Golaszewski
    Stefan Golaszewski is a British writer and director best known for his acclaimed television comedies and dramas, including the series "Him & Her" and "Mum."
  • B. Jan Kozietulski
    Jan Kozietulski was a Polish cavalry officer of the Napoleonic era, best known for his leadership and bravery in the elite Polish Lancers of the Imperial Guard.
  • C. Piotr Stepnowski
    Piotr Stepnowski is a Polish academic and administrator who serves as the rector of the University of Gdańsk.
  • D. Marek Zaleski
    Marek Zaleski is a Polish literary critic and essayist known for his work on modern Polish literature and literary theory.
  • E. Marek Morzyński
    Marek Morzyński is a researcher in fluid dynamics and flow control, known for his collaborative work on reduced-order modeling and aerodynamic applications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stefan Kaluzny
Triple: [Sycamore Partners, foundedBy, Stefan Kaluzny]
Generated description
Stefan Kaluzny is an American private equity investor best known as the co-founder and managing partner of the retail-focused firm Sycamore Partners.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stefan Kaluzny
Target entity description: Stefan Kaluzny is an American private equity investor best known as the co-founder and managing partner of the retail-focused firm Sycamore Partners.
  • A. Stefan Golaszewski
    Stefan Golaszewski is a British writer and director best known for his acclaimed television comedies and dramas, including the series "Him & Her" and "Mum."
  • B. Jan Kozietulski
    Jan Kozietulski was a Polish cavalry officer of the Napoleonic era, best known for his leadership and bravery in the elite Polish Lancers of the Imperial Guard.
  • C. Piotr Stepnowski
    Piotr Stepnowski is a Polish academic and administrator who serves as the rector of the University of Gdańsk.
  • D. Marek Zaleski
    Marek Zaleski is a Polish literary critic and essayist known for his work on modern Polish literature and literary theory.
  • E. Marek Morzyński
    Marek Morzyński is a researcher in fluid dynamics and flow control, known for his collaborative work on reduced-order modeling and aerodynamic applications.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e809ee888190a2cf69d59c0b9c20 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01d27638ec8190a125ee8e02086035 completed May 11, 2026, 12:58 p.m.
NEDg Description generation batch_6a01d36fcfd081908b85e5bafb3eda4e completed May 11, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_6a01d3ca97b88190800530c80bd5dff0 completed May 11, 2026, 1:04 p.m.
Created at: April 10, 2026, 5:36 a.m.